Design and Analysis PDF Download

Author: Bernard Leupen
Publisher: 010 Publishers
ISBN: 9789064502590
Category : Design
Languages : en
Pages : 232

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Author: Bernard Leupen
Publisher: Wiley
ISBN: 9780471288411
Category : Architecture
Languages : en
Pages : 0

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Book Description
Design and Analysis by Bernard Leupen, Christoph Grafe, Nicola Körnig, Marc Lampe, and Peter de Zeeuw Design and Analysis is an insightful, interdisciplinary exploration of the diversity of analytic methods used by architects, designers, urban planners, and landscape architects to understand the structure and principles of the built environment. Developed by a team headed by Bernard Leupen at Delft University of Technology, The Netherlands, Design and Analysis defies borders of history, geography, and discipline, tracing the evolution of design principles from ancient Greece to the 20th century. "Only methodical analysis gives us an insight into the design process," states architect Bernard Tschumi. Using historical examples from architecture, urban design, and landscape architecture, Design and Analysis defines an ordered system that enables the design student or professional to identify the factors that influence designers’ decisions, and shows how to relate them to the finished project. Design and Analysis is organized into six chapters that correspond to these factors: order and composition, functionality, structure, typology, context, and analytical techniques. The authors introduce the analytical drawing as a time-tested means to obtaining insight into the design process. Over 100 line drawings are featured in all. Using contemporary architectural examples to teach ancient design principles, Design and Analysis is more than just an introduction to analytical methods. The authors give an outline of space design as a whole, from individual buildings to urban and landscape ensembles. Though primarily intended for design students to help them appreciate many of the issues that they will face as professionals, Design and Analysis’s broad, easy-to-read approach makes it an invaluable handbook for designers of all disciplines.

Author: Dexter C. Kozen
Publisher: Springer Science & Business Media
ISBN: 1461244005
Category : Computers
Languages : en
Pages : 327

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Book Description
These are my lecture notes from CS681: Design and Analysis of Algo rithms, a one-semester graduate course I taught at Cornell for three consec utive fall semesters from '88 to '90. The course serves a dual purpose: to cover core material in algorithms for graduate students in computer science preparing for their PhD qualifying exams, and to introduce theory students to some advanced topics in the design and analysis of algorithms. The material is thus a mixture of core and advanced topics. At first I meant these notes to supplement and not supplant a textbook, but over the three years they gradually took on a life of their own. In addition to the notes, I depended heavily on the texts • A. V. Aho, J. E. Hopcroft, and J. D. Ullman, The Design and Analysis of Computer Algorithms. Addison-Wesley, 1975. • M. R. Garey and D. S. Johnson, Computers and Intractibility: A Guide to the Theory of NP-Completeness. w. H. Freeman, 1979. • R. E. Tarjan, Data Structures and Network Algorithms. SIAM Regional Conference Series in Applied Mathematics 44, 1983. and still recommend them as excellent references.

Author: Gary W. Oehlert
Publisher: W. H. Freeman
ISBN: 9780716735106
Category : Mathematics
Languages : en
Pages : 600

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Book Description
Oehlert's text is suitable for either a service course for non-statistics graduate students or for statistics majors. Unlike most texts for the one-term grad/upper level course on experimental design, Oehlert's new book offers a superb balance of both analysis and design, presenting three practical themes to students: • when to use various designs • how to analyze the results • how to recognize various design options Also, unlike other older texts, the book is fully oriented toward the use of statistical software in analyzing experiments.

Author: Geoffrey Keppel
Publisher:
ISBN:
Category : Ciencias sociales
Languages : en
Pages : 616

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This book provides basic information to conduct experiments and analyze data in the behavioral, social, and biological sciences. It includes information about designs with repeated measures, analysis of covariance, structural models, and other material.

Author: Thomas J. Santner
Publisher: Springer
ISBN: 1493988476
Category : Mathematics
Languages : en
Pages : 436

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Book Description
This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment. Computer experiments continue to increase in popularity as surrogates for and adjuncts to physical experiments. Since the publication of the first edition, there have been many methodological advances and software developments to implement these new methodologies. The computer experiments literature has emphasized the construction of algorithms for various data analysis tasks (design construction, prediction, sensitivity analysis, calibration among others), and the development of web-based repositories of designs for immediate application. While it is written at a level that is accessible to readers with Masters-level training in Statistics, the book is written in sufficient detail to be useful for practitioners and researchers. New to this revised and expanded edition: • An expanded presentation of basic material on computer experiments and Gaussian processes with additional simulations and examples • A new comparison of plug-in prediction methodologies for real-valued simulator output • An enlarged discussion of space-filling designs including Latin Hypercube designs (LHDs), near-orthogonal designs, and nonrectangular regions • A chapter length description of process-based designs for optimization, to improve good overall fit, quantile estimation, and Pareto optimization • A new chapter describing graphical and numerical sensitivity analysis tools • Substantial new material on calibration-based prediction and inference for calibration parameters • Lists of software that can be used to fit models discussed in the book to aid practitioners

Author: Sandeep Sen
Publisher: Cambridge University Press
ISBN: 1108576893
Category : Computers
Languages : en
Pages : 396

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Book Description
The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives applications to contemporary problems. Techniques including Fast Fourier transform, KMP algorithm for string matching, CYK algorithm for context free parsing and gradient descent for convex function minimization are discussed in detail. The book's emphasis is on computational models and their effect on algorithm design. It gives insights into algorithm design techniques in parallel, streaming and memory hierarchy computational models. The book also emphasizes the role of randomization in algorithm design, and gives numerous applications ranging from data-structures such as skip-lists to dimensionality reduction methods.

Author: Tamara Munzner
Publisher: CRC Press
ISBN: 1466508930
Category : Business & Economics
Languages : en
Pages : 422

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Book Description
Learn How to Design Effective Visualization SystemsVisualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques

Author: Nicola Santoro
Publisher: John Wiley & Sons
ISBN: 0470072636
Category : Computers
Languages : en
Pages : 730

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Book Description
This text is based on a simple and fully reactive computational model that allows for intuitive comprehension and logical designs. The principles and techniques presented can be applied to any distributed computing environment (e.g., distributed systems, communication networks, data networks, grid networks, internet, etc.). The text provides a wealth of unique material for learning how to design algorithms and protocols perform tasks efficiently in a distributed computing environment.

Author: Charles S. Reichardt
Publisher: Guilford Publications
ISBN: 1462540201
Category : Business & Economics
Languages : en
Pages : 382

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Book Description
Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding constraints of field settings. Foremost expert Charles S. Reichardt provides an in-depth examination of the design and statistical analysis of pretest-posttest, nonequivalent groups, regression discontinuity, and interrupted time-series designs. He details their relative strengths and weaknesses and offers practical advice about their use. Reichardt compares quasi-experiments to randomized experiments and discusses when and why the former might be a better choice. Modern moethods for elaborating a research design to remove bias from estimates of treatment effects are described, as are tactics for dealing with missing data and noncompliance with treatment assignment. Throughout, mathematical equations are translated into words to enhance accessibility.